Hi Lucie,
You can visualize this using the sizetree function (plotrix). You
supply a data frame of the individual choice sequences.
# form a data frame of "random" choices
coltrans<-data.frame(choice1=sample(c("High","Medium","Low"),100,TRUE),
choice2=sample(c("High","Medium","Low"),100,TRUE))
y
College Station, TX 77840-4352
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Lucie Dupond
Sent: Sunday, June 19, 2016 9:10 PM
To: r-help@r-project.org
Subject: [R] R help contingency table
Hello,
I'm sorry if my question is really basic, but I'm having so
r-help-boun...@r-project.org] On Behalf Of Lucie Dupond
Sent: Sunday, June 19, 2016 9:10 PM
To: r-help@r-project.org
Subject: [R] R help contingency table
Hello,
I'm sorry if my question is really basic, but I'm having some troubles with the
statistics for my thesis, and especially the khi squar
> The first colomn is showing the first color, and the second is showing the
> second color of the transition
Are you sure?
transitions1 is a 3x3 matrix; it has three columns, not two.
Could it be that the columns are colour 2 following initial condition given by
row, or vice versa?
[not that
Hello,
I'm sorry if my question is really basic, but I'm having some troubles with the
statistics for my thesis, and especially the khi square test and contingency
tables.
For what I understood, there are two "kinds" of khisquare test, that are quite
similar :
- Homogeneity, when we have one
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